The present application belongs to the field of
agricultural information technology, and particularly relates to a kind of method for evaluating the effect of farming and
herding household
livelihood transition based on multi-scale data fusion, which first obtains and integrates multi-
source data of farming and
herding household scale and landscape scale; subsequently, at the scale of farming and
herding household, the income-asset regression model and
latent variable cluster analysis are used to generate the classification results of
livelihood strategies, and the multi-item
Logit model is used to analyze the driving factors; at the landscape scale, the model simulating
land use change under different scenarios is constructed based on the driving factors, and the equivalent
factor method is used to quantify the changes in
ecosystem service value caused thereby; finally, at the regional scale, the changes in
ecosystem service value are taken as the core ecological constraint, and the multi-
objective programming model is used to generate the sustainable
livelihood transition scheme with the optimal comprehensive benefits of
ecology and economy. The present application breaks through the limitations of traditional single-scale
static analysis, and realizes the multi-level
dynamic coupling evaluation from micro-behavior to
macro-effect.